Books in category of Data Science

Learning Python
Published on: 2007
Unordered Data Science English

Portable, powerful, and a breeze to use, Python is ideal for both standalone programs and scripting applications. With this hands-on …

Python programming tutorial beginners language
Principles of Data Science
Published on: 2016
Beginner Data Science English

Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: How to Sound …

Data Science Analysis Algorithms Statistics
Data Mining and Data Warehousing: Principles and Practical Techniques
Published on: 2019
Beginner Data Science English

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single …

Data Mining Data Warehousing Techniques Principles Applications
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Published on: 2021
Beginner Data Science English

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on …
Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
Published on: 2009
Beginner Data Science English

Data warehousing and mining technologies are key assets today in many areas of human knowledge, from scientific to commercial and …

Data Warehousing Mining Trends Solutions Domains
Data Warehousing OLAP and Data Mining
Published on: 2008
Beginner Data Science English

It experiences the real-time environment and promotes planning, managing, designing, implementing, supporting, maintaining and analyzing data warehouse in organizations and …

OLAP Data Mining Warehousing Analysis SQL
Data Science in Practice
Published on: 2019
Beginner Data Science English

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have …

Data Science Practice Analytics Technology
Time Series for Data Science: Analysis and Forecasting
Published on: 2022
Beginner Data Science English

Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a …

Time Series Data Science Analysis Forecasting Python
Optimization for Machine Learning
Published on: 2011
Beginner Data Science English

The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations …
Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
Published on: 2023
Unordered Data Science English

Use easy-to-apply patterns in SQL and Python to adopt modern analytics engineering to build agile platforms with dbt that are …

dbt SQL cloud-based data platform engineering
Data Science: The Hard Parts: Techniques for Excelling at Data Science
Published on: 2023
Unordered Data Science English

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and …

Statistics Algorithms Machine Learning Python Visualization
The Elements of Statistical Learning
Published on: 2001
Beginner Data Science English

Statistics for People Who (Think They) Hate Statistics Using R
Published on: 2019
Beginner Data Science English

Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an …

Statistics R Beginners Data Analysis Learning
Forecasting: Principles and Practice
Published on: 2018
Unordered Data Science English

Time-Series Predictive Accuracy Models Techniques
Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python
Published on: 2021
Intermediate Data Science English

A practical guide simplifying discrete math for curious minds and demonstrating its application in solving problems related to software development, …

Math Algorithms Computer Science Machine Learning Python
Advances in Data Science: Methodologies and Applications
Published on: 2021
Beginner Data Science English

Big data and data science are transforming our world today in ways we could not have imagined at the beginning …

Data Science Methodologies Applications Analytics Innovations
Pandas for Everyone: Python Data Analysis (Addison-Wesley Data & Analytics Series)
Published on: 2022
Intermediate Data Science English

Manage and Automate Data Analysis with Pandas in PythonToday, analysts must manage data characterized by extraordinary variety, velocity, and volume. …

pandas Python data analysis programming beginners
Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale
Published on: 2023
Unordered Data Science English

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers …

SQL dbt Data Models Analytics Scalability
Snowflake Cookbook: Techniques for building modern cloud data warehousing solutions
Published on:
Unordered Data Science English

Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and …

Cloud Data Warehousing Snowflake Solutions Techniques
Analyzing Social Networks Using R
Published on: 2022
Beginner Data Science English

This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together …

Social Networks R Programming Data Analysis Visualization Graph Theory
Essential Math for Data Science
Published on: 2022
Intermediate Data Science English

Statistics Linear Algebra Calculus Probability Python
Data Science and Predictive Analytics. Biomedical and Health Applications using R
Published on: 2018
Beginner Data Science English

Data Science Predictive Analytics Biomedical Health R
Mining and Analyzing Social Networks
Published on: 2010
Beginner Data Science English

This book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers …

Social Networks Data Mining Analysis Algorithms Visualization
Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3
Published on: 2019
Advanced Data Science English

Implement effective programming techniques in Python to build scalable software that saves time and memory Key Features • Design distributed …
Weapons of Math Destruction
Published on: 2016
Beginner Data Science English

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether …
Introduction to time series and forecasting
Published on: 1996
Beginner Data Science English

TimeSeries Forecasting Statistics Models Analysis
State-space methods for time series analysis : theory, applications and software
Published on: 2016
Beginner Data Science English

State-space Time-series Analysis Applications Software
Narrative by Numbers: How to Tell Powerful and Purposeful Stories with Data
Published on: 2018
Beginner Data Science English

data storytelling analytics communication narrative
Mathematics for Machine Learning
Published on: 2020
Advanced Data Science English

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
Applied Artificial Intelligence
Published on: 2006
Beginner Data Science English

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Applied Artificial Intelligence …

AI Business Implementation Strategy Innovation
Data Warehousing and Data Mining for Telecommunications (Artech House Computer Science Library)
Published on: 1997
Beginner Data Science English

A telecommunications-specific guide to data warehousing and mining, this work offers step-by-step directions for designing and delivering data warehousing and …
Learning IPython for Interactive Computing and Data Visualization: Learn IPython for interactive Python programming, high-performance numerical computing, and data visualization
Published on: 2013
Advanced Data Science English

You already use Python as a scripting language, but did you know it is also increasingly used for scientific computing …

IPython Interactive Python Computing Visualization
Mathematics For Machine Learning (MML) Official Solutions (Instructor's Solution Manual)
Published on: 2020
Intermediate Data Science English

the official solution manual for https://mml-book.com from https://www.cambridge.org/us/academic/subjects/computer-science/pattern-recognition-and-machine-learning/mathematics-machine-learning#resources the manual contains solutions for all exercises in the book; note that …

Guidance Algorithms Exercises Concepts Instructors
Time Series Analysis Methods and Applications for Flight Data
Published on: 2017
Beginner Data Science English

This book focuses on different facets of flight data analysis, including the basic goals, methods, and implementation techniques. As mass …

Time Series Flight Data Analysis Applications Methods
Python Parallel Programming Cookbook
Published on: 2015
Advanced Data Science English

Master efficient parallel programming to build powerful applications using Python About This Book Design and implement efficient parallel software Master …
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Published on: 2018
Advanced Data Science English

Hands-On GPU Programming with Python and CUDA hits the ground running: you'll start by learning how to apply Amdahl's Law, …
Group Recommender Systems. An Introduction
Published on: 2018
Beginner Data Science English

group recommendations collaborative filtering decision support user preferences system design
Introduction to probability
Published on: 1999
Beginner Data Science English

probability statistics stochastic distribution randomness
The Hundred-Page Machine Learning Book
Published on: 2019
Unordered Data Science English

Is this book for you? You will enjoy the book if you are: - a software engineer or a scientist …

Machine Learning Simplicity Guide Algorithms Concepts
Causal Inference: The Mixtape
Published on: 2021
Beginner Data Science English

causality econometrics counterfactuals regression methods

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Explore the Vast World of Data Science

Dive deep into one of the most fascinating and rapidly evolving fields of the 21st century. Our Data Science collection offers a comprehensive array of resources suitable for beginners, seasoned professionals, and everyone in between.

Why Data Science?

Data Science stands at the intersection of statistics, computer science, and domain expertise, making it an essential discipline for driving innovation and decision-making in today’s data-driven world. Businesses across all industries rely on data to understand trends, optimize operations, and predict future scenarios. This immense demand makes Data Science a critical skill for the modern professional.

Our Extensive Collection

At Refhub.ir, we pride ourselves on curating an extensive collection of Data Science books that cater to all levels:

  • Beginners: Kickstart your journey with easy-to-understand introductions that cover fundamental concepts like data mining, machine learning, and statistical analysis.
  • Intermediate: Deepen your knowledge with books focusing on specific tools and techniques, including Python, R, and SQL programming skills that are pivotal in data manipulation and analysis.
  • Advanced: For experienced data scientists, explore cutting-edge topics such as deep learning, artificial intelligence, and big data architectures.

Topics Covered

Our collection ensures a comprehensive understanding of the following topics:

  • Data Wrangling and Cleaning
  • Exploratory Data Analysis
  • Predictive Modeling
  • Data Visualization
  • Artificial Intelligence & Machine Learning
  • Statistical Inferences
  • Big Data Technologies
  • Natural Language Processing
  • Reinforcement Learning
  • Ethics in Data Science

Authors and Thought Leaders

Learn from esteemed authors and thought leaders who are pioneers in the field of Data Science. Their insights and experiences are captured in our books, providing invaluable knowledge that transcends theoretical understanding.

Benefits of Choosing Refhub.ir

Choosing books from Refhub.ir offers you numerous benefits:

  • Curated Recommendations: Our experts filter through countless options to bring you only the most impactful reads.
  • Comprehensive Synopses: Detailed summaries give you a clear idea of what to expect, ensuring you invest time and resources wisely.
  • Community Insight: Benefit from reviews and feedback shared by a thriving community of data science enthusiasts.
  • Regular Updates: Stay abreast of the latest developments with newly added books every month.

Immerse Yourself in Learning

Whether preparing for a career shift or looking to refine your expertise, our Data Science collection is designed to empower learners and professionals alike. From understanding basic algorithms to leveraging data for business intelligence, each book is a step toward mastery in this vital field.

Conclusion

Start your exploration into the world of Data Science with Refhub.ir today. Our selection of books will provide you with the tools and knowledge you need to harness the power of data, thus enhancing your career and contributing significantly to your professional journeys.